Early cattle disease and oestrus cycle detection using IoT

Abstract

This project addresses significant economic losses in dairy farming due to late disease diagnosis and poor oestrus cycle detection, issues particularly challenging for resource-limited farmers. The developed system leverages IoT technology, sensors (including temperature, heart rate, and movement), and a connected camera to monitor dairy cow health and behavioural parameters in real-time. This approach enables proactive disease detection and accurate oestrus cycle identification, facilitating prompt intervention and optimizing breeding management. Studies indicate the system achieves a 98 % decrease in disease detection time and a 95 % increase in oestrus detection accuracy compared to traditional methods. This promises enhanced agricultural productivity.